RATIONALE AND OBJECTIVES: The aim of this study was to assess the Delta-projection image processing technique for visualizing tumor microvessels and for quantifying the area of tissue perfused by them on contrast-enhanced ultrasound images. MATERIALS AND METHODS: The Delta-projection algorithm was implemented to quantify perfusion by tracking the running maximum of the difference (Delta) between the contrast-enhanced ultrasound image sequence and a baseline image. Twenty-five mice with subcutaneous K1735 melanomas were first imaged with contrast-enhanced grayscale and then with minimum-exposure contrast-enhanced power Doppler (minexCPD) ultrasound. Delta-projection images were reconstructed from the grayscale images and then used to evaluate the evolution of tumor vascularity during the course of contrast enhancement. The extent of vascularity (ratio of the perfused area to the tumor area) for each tumor was determined quantitatively from Delta-projection images and compared to the extent of vascularity determined from contrast-enhanced power Doppler images. Delta-projection and minexCPD measurements were compared using linear regression analysis. RESULTS: Delta-projection was successfully performed in all 25 cases. The technique allowed the dynamic visualization of individual blood vessels as they filled in real time. Individual tumor blood vessels were distinctly visible during early image enhancement. Later, as an increasing number of blood vessels were filled with the contrast agent, clusters of vessels appeared as regions of perfusion, and the identification of individual vessels became difficult. Comparisons were made between the perfused area of tumors in Delta-projections and in minexCPD images. The Delta-projection perfusion measurements were correlated linearly with minexCPD. CONCLUSION: Delta-projection visualized tumor vessels and enabled the quantitative assessment of the tumor area perfused by the contrast agent.
RATIONALE AND OBJECTIVES: The aim of this study was to assess the Delta-projection image processing technique for visualizing tumor microvessels and for quantifying the area of tissue perfused by them on contrast-enhanced ultrasound images. MATERIALS AND METHODS: The Delta-projection algorithm was implemented to quantify perfusion by tracking the running maximum of the difference (Delta) between the contrast-enhanced ultrasound image sequence and a baseline image. Twenty-five mice with subcutaneous K1735 melanomas were first imaged with contrast-enhanced grayscale and then with minimum-exposure contrast-enhanced power Doppler (minexCPD) ultrasound. Delta-projection images were reconstructed from the grayscale images and then used to evaluate the evolution of tumor vascularity during the course of contrast enhancement. The extent of vascularity (ratio of the perfused area to the tumor area) for each tumor was determined quantitatively from Delta-projection images and compared to the extent of vascularity determined from contrast-enhanced power Doppler images. Delta-projection and minexCPD measurements were compared using linear regression analysis. RESULTS: Delta-projection was successfully performed in all 25 cases. The technique allowed the dynamic visualization of individual blood vessels as they filled in real time. Individual tumor blood vessels were distinctly visible during early image enhancement. Later, as an increasing number of blood vessels were filled with the contrast agent, clusters of vessels appeared as regions of perfusion, and the identification of individual vessels became difficult. Comparisons were made between the perfused area of tumors in Delta-projections and in minexCPD images. The Delta-projection perfusion measurements were correlated linearly with minexCPD. CONCLUSION: Delta-projection visualized tumor vessels and enabled the quantitative assessment of the tumor area perfused by the contrast agent.
Authors: Andrew K W Wood; Sara Ansaloni; Lisa S Ziemer; William M-F Lee; Michael D Feldman; Chandra M Sehgal Journal: Ultrasound Med Biol Date: 2005-10 Impact factor: 2.998
Authors: Yoko Kamotani; William M F Lee; Peter H Arger; Theodore W Cary; Chandra M Sehgal Journal: Ultrasound Med Biol Date: 2003-07 Impact factor: 2.998
Authors: Rodolfo Perini; Regine Choe; Arjun G Yodh; Chandra Sehgal; Chaitanya R Divgi; Mark A Rosen Journal: Cancer Metastasis Rev Date: 2008-12 Impact factor: 9.264
Authors: Andrew K W Wood; Susan M Schultz; William M-F Lee; Ralph M Bunte; Chandra M Sehgal Journal: Ultrasound Med Biol Date: 2010-04-09 Impact factor: 2.998
Authors: Marybeth A Pysz; Kira Foygel; Cedric M Panje; Andrew Needles; Lu Tian; Jürgen K Willmann Journal: Invest Radiol Date: 2011-03 Impact factor: 6.016
Authors: Julia C D'Souza; Laith R Sultan; Stephen J Hunt; Terence P Gade; Mrigendra B Karmacharya; Susan M Schultz; Angela K Brice; Andrew K W Wood; Chandra M Sehgal Journal: Nanotheranostics Date: 2019-10-01